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https://issues.apache.org/jira/browse/LUCENE-2230?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13034999#comment-13034999
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Fuad Efendi commented on LUCENE-2230:
-------------------------------------

I believe this issue should be closed due to significant performance 
improvements related to LUCENE-2089 and LUCENE-2258.
I don't think there is any interest from the community to continue with this 
(BK Tree and "Strike a Match") naive approach; although some people found it 
useful. Of course we might have few more distance implementations as a separate 
improvement.

Please close it.


Thanks

> Lucene Fuzzy Search: BK-Tree can improve performance 3-20 times.
> ----------------------------------------------------------------
>
>                 Key: LUCENE-2230
>                 URL: https://issues.apache.org/jira/browse/LUCENE-2230
>             Project: Lucene - Java
>          Issue Type: Improvement
>          Components: core/search
>    Affects Versions: 3.0
>         Environment: Lucene currently uses brute force full-terms scanner and 
> calculates distance for each term. New BKTree structure improves performance 
> in average 20 times when distance is 1, and 3 times when distance is 3. I 
> tested with index size several millions docs, and 250,000 terms. 
> New algo uses integer distances between objects.
>            Reporter: Fuad Efendi
>         Attachments: BKTree.java, Distance.java, DistanceImpl.java, 
> FuzzyTermEnumNEW.java, FuzzyTermEnumNEW.java
>
>   Original Estimate: 1m
>  Remaining Estimate: 1m
>
> W. Burkhard and R. Keller. Some approaches to best-match file searching, 
> CACM, 1973
> http://portal.acm.org/citation.cfm?doid=362003.362025
> I was inspired by 
> http://blog.notdot.net/2007/4/Damn-Cool-Algorithms-Part-1-BK-Trees (Nick 
> Johnson, Google).
> Additionally, simplified algorythm at 
> http://www.catalysoft.com/articles/StrikeAMatch.html seems to be much more 
> logically correct than Levenstein distance, and it is 3-5 times faster 
> (isolated tests).
> Big list od distance implementations:
> http://www.dcs.shef.ac.uk/~sam/stringmetrics.htm

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